A diagnostic that measures instability of constraint-based causal graphs over increasing conditioning depths to detect hidden confounding or incomplete state in time series observational data.
arXiv preprint arXiv:2305.19582 , year=
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Markovianity-Based Conditioning Depth Diagnostics for Hidden Confounding in Observational Datasets
A diagnostic that measures instability of constraint-based causal graphs over increasing conditioning depths to detect hidden confounding or incomplete state in time series observational data.